law
Joined 16 years ago
Joined 16 years ago
Comcast actually owns part of Hulu, but its a purely economic ownership interest (See https://www.fcc.gov/transaction/comcast-nbcu for more information)
I don't think that's what the FSF means when they talk about freedom. Freedom is about keeping everyone free--developers and users alike. Copyleft licenses ensure that all derivative works be subject to the same licensing terms as the original work. It's a way to protect the self-perpetuating nature of free software that more permissive licenses fail to achieve.
In keeping with that goal, is there any chance that you will open source the work you've done under a GPLv3 license? Perhaps the largest problem is that every service claims to be "reliable, capable, and actively maintained" until it isn't.
Sentence = "This sentence is semantically and syntactically valid."
P(Sentence) = log(p(START,START,This)) + log(p(START,This,sentence)) + log(p(This,sentence,is)) + log(p(sentence,is,semantically)) + log(p(is,semantically,and)) + log(p(semantically,and,syntactically)) + log(p(and,syntactically,valid)) + log(p(syntactically,valid,.)) + log(p(valid,.,STOP)) + log(p(.,STOP,STOP))
where START and STOP are special symbols that aid in determining the proximity of a word to the beginning and end of a sentence.
If your training set fails to sufficiently generalize, you could use Bayesian inference to estimate the likelihood that the sentence is spam. Under this framework, you'd be calculating the posterior probability of the sentence being spam given the observed sequence of n-grams, which combines (i) the inherent likelihood that any sequence of words is spam and (ii) the compatibility of an observed sequence with (i), which is proportional to the impact it has on (i).
[1] http://storage.googleapis.com/books/ngrams/books/datasetsv2....